Secure Stabilization of Networked Systems Without DoS Attack Detection via Novel Aperiodic Sampled-Data Control Method With Switched Gains and Its Applications
Zhaoliang Sheng, Shengyuan Xu · IEEE Transactions on Automation Science and Engineering · 2025
This article investigates the secure stabilization of networked systems against denial-of-service (DoS) attacks, by developing a new aperiodic sampled-data transmission scheme without attack detection and correspondingly proposing a novel resilient sampled-data control method with switched gains. For this problem, the nonlinear controlled systems are approximated by Takagi-Sugeno (T-S) fuzzy systems. In the new transmission scheme, the sampling of the system state is aperiodic. Additionally, based on each moment when the sampled data is successfully transmitted, the scheme determines in real time whether the aperiodic sampled-data pattern is impacted by DoS attacks, thereby categorizing it into various scenarios. Throughout the transmission scheme, there is no need to detect the start and end of each attack. In line with this transmission scheme, the resilient sampled-data control signal with switched gains is designed, adopting various control gains to cope with the different scenarios. This also means that the control continues to act upon the system even when transmission is impacted by attacks. Meanwhile, a new secure control standard against DoS attacks is introduced, which only requires an assumption about the cumulative duration impacted by attacks. In light of the above aspects, and according to the newly constructed discontinuous piecewise functional, the improved stability and stabilization results are derived, which are more advantageous than those in the literature. Finally, the results are applied to the permanent magnet synchronous motor (PMSM) system and the R¨osser’s system, demonstrating the effectiveness and advantages of our new methods and results.